Ziyuan Yang

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Known people with the same name:

Bibliography

2026
Targeted Downstream-Agnostic Attack.
CoRR, May, 2026

Whispers in the Noise: Surrogate-Guided Concept Awakening via a Multi-Agent Framework.
CoRR, May, 2026

From Compression to Accountability: Harmless Copyright Protection for Dataset Distillation.
CoRR, May, 2026

PRISM: Refracting the Entangled User Behavior Space for E-Commerce Search.
CoRR, May, 2026

PrismAgent: Illuminating Harm in Memes via a Zero-Shot Interpretable Multi-Agent Framework.
CoRR, May, 2026

From Static Analysis to Audience Dissemination: A Training-Free Multimodal Controversy Detection Multi-Agent Framework.
CoRR, May, 2026

Catching the Infection Before It Spreads: Foresight-Guided Defense in Multi-Agent Systems.
CoRR, May, 2026

Asymmetric Invertible Threat: Learning Reversible Privacy Defense for Face Recognition.
CoRR, May, 2026

Trust the Unreliability: Inward Backward Dynamic Unreliability Driven Coreset Selection for Medical Image Classification.
CoRR, March, 2026

Zero-Sacrifice Persistent-Robustness Adversarial Defense for Pre-Trained Encoders.
CoRR, February, 2026

Mirage: Transmitting a Video as a Perceptual Illusion for 50,000X Speedup.
CoRR, February, 2026

Among Us: Measuring and Mitigating Malicious Contributions in Model Collaboration Systems.
CoRR, February, 2026

MoCo: A One-Stop Shop for Model Collaboration Research.
CoRR, January, 2026

PalmBridge: A Plug-and-Play Feature Alignment Framework for Open-Set Palmprint Verification.
CoRR, January, 2026

LURE: Latent Space Unblocking for Multi-Concept Reawakening in Diffusion Models.
CoRR, January, 2026

Hear the Heartbeat in Phases: Physiologically Grounded Phase-Aware ECG Biometrics.
CoRR, January, 2026

Iterative relative error allocation and compensation in dual-robot collaboration based on dynamic vector valued Nash games.
Adv. Eng. Informatics, 2026

Poisoned Distillation: Injecting Backdoors into Distilled Datasets Without Raw Data Access.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
A method for detecting high-risk electricity theft in low-voltage distribution network stations based on density clustering of IoT sensing data.
Energy Inform., December, 2025

Low-Level Dataset Distillation for Medical Image Enhancement.
CoRR, November, 2025

Uncertainty-Driven Hierarchical Sampling for Unbalanced Continual Malware Detection with Time-Series Update-Based Retrieval.
CoRR, September, 2025

Federated Learning for Large Models in Medical Imaging: A Comprehensive Review.
CoRR, August, 2025

ROPREM: a prototype-free retrival method for automatic check-out.
Neural Comput. Appl., July, 2025

Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model.
CoRR, March, 2025

Dark Distillation: Backdooring Distilled Datasets without Accessing Raw Data.
CoRR, February, 2025

FedRIR: Rethinking Information Representation in Federated Learning.
CoRR, February, 2025

Multisensory Measurement Synchronization and Industrial Robot Trajectory Error Compensation Based on Laser Tracker and Photoelectric Switch.
IEEE Trans. Instrum. Meas., 2025

Sigmoid angle-arc curves: Enhancing robot time-optimal path parameterization for high-order smooth motion.
Robotics Comput. Integr. Manuf., 2025

Enhancing trajectory tracking accuracy of industrial robots through temporal-spatial mapping and multi-measurement alignment.
Robotics Comput. Integr. Manuf., 2025

IntersectioNDE: Learning Complex Urban Traffic Dynamics Based on Interaction Decoupling Strategy.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

Plaintext-Free Deep Learning for Privacy-Preserving Medical Image Analysis through Frequency Information Embedding.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Modality Modulation and Dual Consistency for Multi-Modality Semi-Supervised Medical Image Segmentation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Inject Backdoor in Measured Data to Jeopardize Full-Stack Medical Image Analysis System.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Comprehensive Criterion-Guided Variable Memory Bank for Semi-Supervised Object Detection.
Proceedings of the International Joint Conference on Neural Networks, 2024

Adversarial Attacks on Network Intrusion Detection Systems Based on Federated Learning.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

RIS-UAV Assisted Marine Communication Based on Deep Neural Network Training.
Proceedings of the 4th IEEE International Conference on Digital Twins and Parallel Intelligence, 2024

2023
Deep CNN- RNN with Self- Attention Model for Electric IoT Traffic Classification.
Proceedings of the 4th International Conference on Big Data & Artificial Intelligence & Software Engineering, 2023

2022
Prognostic risk assessment model and drug sensitivity analysis of colon adenocarcinoma (COAD) based on immune-related lncRNA pairs.
BMC Bioinform., December, 2022

2021
A Mask Wearing Detection System Based on Deep Learning.
J. Multim. Inf. Syst., 2021

2019
Radar Target Recognition Based on Complex HRRP Using Convolutional Neural Network.
Proceedings of the 2019 International Symposium on Signal Processing Systems, 2019

2008
A Novel Nyquist Window for OFDM-based Cognitive Radio Systems.
Proceedings of the 3rd International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications, 2008


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